Yeah, I just got two new servers to break in. I'm now running 3-4 IBM x3550M3 with various cpu types. 8 and 12-core. They use hyperthreading so to the OS (linux) they appear 16 and 24-core. I use -smp to make the client use only as many threads as there are physical cores. It would be a bit quicker to use the hyperthreaded cores as well but I like to keep some horsepower for other tasks. Might have to do -smp 16 with the bigadv changes though. I'm not sure how long I will keep all these servers folding so I probably won't pass you in six months...

BTW, the stats servers at stanford have been down for a couple days, so it looks like your data isn't going through. But from what I can tell in the forums, it's just the stats servers that are having the problem, the work servers still seem to be up. It's been weird for me this whole weekend, on friday I lost the ability to upload files, then on Saturday my internet was out completely. Apparently comcast turned it off because the line was too noisy. They came on sunday and got it back up, but because I lost upload ability first, all my systems dropped 4 or 5 finished wus off and started up on new ones. I really hope the data we sent gets tabulated, I upgraded one of my machines last week to an i7 3930k, and it's doing really well. With all 12 cores running in windows, it's doing around 46k ppd on simple smp jobs. But that also freed up the i7 980x board so I could put that into a linux box. Under linux, it keeps picking up 6903 bigadv jobs, and running at something like 74k ppd according to hfm.net. Hope that lasts for a while.

A recent issue for me has been when I manually shut down F@H and then restart it, it most often aborts that work unit (because the machine is "unstable") and then starts a new work unit. It usually does 2-3% more work on the unit and then aborts...

Yeah, that happens to me too, sometimes. Haven't really noticed it more than usual, I've been screwing with some computers, so it's natural to get failures when you do that. For general instability, I usually just crank down the overclock a notch and see if that helps. Usually does. If you're not overclocking, may want to run a memory test, I've had some trouble with that lately.

Many of the efficiency changes they've implemented in Kepler have come at the expense of non-gaming GPU compute. I'm sure the rumored "big" Kepler (GK100?) will be a much better performer, but in some tests like the SmallLuxGPU bench, the GTX 680 only has 70% the performance of the GTX 580. There are some compute areas (more associated with gaming) that the 680 does well in, but...

I'm sure a lot of this can be attributed to driver-side optimizations, but the fact that most scheduling has been taken out of the hardware control logic (and is now done by the compiler) and the fact that double-precision FP is now 1/24 the speed of single-precision FP is worrying. The GTX 580 was 1/8 FP32.

Yeah if you look at the benchmark chart about 1/4 of the way down you see that the 680 shows anywhere from no improvement on some games to a max of maybe 30% better on others. And this is with 1536 shaders versus 512? Pity.

We built a new gaming computer for my son, and the new F@H client for Win7 64bit is CPU and GPU integrated into one, which is really cool! It's an i5 3550 Ivy Bridge and a ATi Radeon 7770 and it just pumped out ~9552 PPD even when he is gaming on it for a large portion of the day. Wow is all I have to say!

Hard to say what the best video card is these days. The nvidia 600 series cards use less power, but the folding engine isn't optimized for them yet. That's in beta, may be coming out soon. In the meantime, the sweet spot for pure ppd/power is probably the gtx 560, maybe the Ti version.

Hard to say what the best video card is these days. The nvidia 600 series cards use less power, but the folding engine isn't optimized for them yet. That's in beta, may be coming out soon. In the meantime, the sweet spot for pure ppd/power is probably the gtx 560, maybe the Ti version.

I'm looking for an overall fast & efficient card at this point. My GTX260 has 2-6 pin power connectors on top. The 650ti has only 1 and should be faster. NVidia doesn't seem to give folding much priority on it's development track, too bad.

_________________People who put money and political ideology ahead of truth and ethics are neither﻿ patriots nor human beings.

Yeah, the gtx 600s are really power efficient in general. I'm tempted to pick up a gtx 670 and wait for the optimized core, but eh, I have a couple of 560s now, no real need to upgrade. But if you do get something, let us know how it goes.

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